abby adalah pustaka pengujian A/B PHP yang sederhana namun kuat.
Pustaka ini memudahkan Anda menyiapkan pengujian ( eksperimen ), grup kontrol dan variasinya, melacak pengguna Anda, mendapatkan statistik terperinci (seperti ukuran sampel yang disarankan, dan menentukan keyakinan hasil Anda), termasuk apakah suatu eksperimen telah mencapai signifikansi statistik .
Pemenang (dan kepercayaan diri) ditentukan menggunakan statistik Bayesian, menghitung nilai p dari hasil Anda untuk memeriksa apakah hipotesis nol dapat ditolak. Ukuran sampel minimum yang menyertainya juga dihitung menggunakan uji dua sisi untuk mengontrol tingkat penemuan palsu.
abby bebas ketergantungan, dan sepenuhnya agnostik basis data, yang berarti ia hanya bekerja dengan data yang Anda berikan, dan memperlihatkan berbagai metode bagi Anda untuk menyimpan hasilnya di penyimpanan pilihan Anda sendiri.
composer require andreekeberg/ abby
// Setup a new Token instance
$ token = new abby Token ();
// If we can't find an existing token cookie, generate one and set tracking cookie
if (! $ token -> getValue ()) {
$ token -> generate ()-> setCookie ();
}
// Setup a User instance
$ user = new abby User ();
// Associate the token with our user
$ user -> setToken ( $ token );
// List of experiments associated with a tracking token
$ data = [
[
' id ' => 1 ,
' group ' => 1 ,
' viewed ' => true ,
' converted ' => false
]
];
// Loop through users existing experiments and add them to our user instance
foreach ( $ data as $ item ) {
// Setup experiment instance based on an existing experiment
$ experiment = new abby Experiment ([
' id ' => $ item [ ' id ' ]
]);
// Setup a group instance based on stored data
$ group = new abby Group ([
' type ' => $ item [ ' group ' ]
]);
// Add the experiment (including their group, and whether they have viewed and converted)
$ user -> addExperiment ( $ experiment , $ group , $ item [ ' viewed ' ], $ item [ ' converted ' ]);
}
// Experiment data
$ data = [
' id ' => 2
];
// Make sure the experiment isn't already in the users list
if (! $ user -> hasExperiment ( $ data [ ' id ' ])) {
// Setup a new experiment instance
$ experiment = new abby Experiment ([
' id ' => $ data [ ' id ' ]
]);
// Assign the user to either control or variation in the experiment
$ group = $ user -> assignGroup ( $ experiment );
// Add the experiment (including assigned group) to our user instance
$ user -> addExperiment ( $ experiment , $ group );
}
// Getting updated user experiment list
$ user -> getExperiments ();
// Store updated experiment list for our user
// Experiment data
$ data = [
' id ' => 1
];
// Record a view for the experiment in question
$ user -> setViewed ( $ data [ ' id ' ]);
// If the user is part of the variation group
if ( $ user -> inVariation ( $ data [ ' id ' ])) {
// Apply a custom class to an element, load a script, etc.
}
// Experiment data
$ data = [
' id ' => 1
];
// On a custom goal, check if user has viewed the experiment and define a conversion
if ( $ user -> hasViewed ( $ data [ ' id ' ])) {
$ user -> setConverted ( $ data [ ' id ' ]);
}
// Getting updated user experiment data
$ user -> getExperiments ();
// Store updated data for our user
// Setup experiment instance with stored results
$ experiment = new abby Experiment ([
' groups ' => [
[
' name ' => ' Control ' ,
' views ' => 3000 ,
' conversions ' => 300
],
[
' name ' => ' Variation ' ,
' views ' => 3000 ,
' conversions ' => 364
]
]
]);
// Retrieve the results
$ result = $ experiment -> getResult ();
// Get the winner
$ winner = $ result -> getWinner ();
/**
* Get whether we can be confident of the result (even if we haven't
* reached the minimum number of views for each variant)
*/
$ confident = $ result -> isConfident ();
/**
* Get the minimum sample size (number of views) required for each group to
* reach statistical significance, given the control groups current conversion
* rate (based on the configured minimumDetectableEffect)
*/
$ minimum = $ result -> getMinimumSampleSize ();
/**
* Get whether the results are statistically significant
*/
$ significant = $ result -> isSignificant ();
/**
* Get complete experiment result
*/
$ summary = $ result -> getAll ();
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abby dilisensikan di bawah lisensi MIT.